Netskope Advances AI-Ready Data Security with Visibility and Analytics of Data Lineage

Rhea-AI Summary

Netskope (NASDAQ: NTSK) introduced Netskope One Data Lineage, a capability that tracks provenance and lifecycle of data at rest, in motion, and in use to support compliance, investigations, and policy enforcement. Data Lineage is in Preview now for customers, with general availability expected in the first half of 2026.

The feature offers end-to-end visibility, insider-threat tracking, and persistent policy controls as data is extracted, reformatted, shared, or evolved. Netskope will demo Data Lineage and other AI-ready features at RSA Conference, March 23–26, 2026, booth #1127.

Key Figures

Announcement date: Feb 03, 2026 GA timeline: H1 2026 RSA Conference dates: March 23–26, 2026 +3 more

6 metrics

Announcement date Feb 03, 2026 Launch of Netskope One Data Lineage capabilities

GA timeline H1 2026 General availability of Data Lineage expected in first half of 2026

RSA Conference dates March 23–26, 2026 Netskope One and Data Lineage demonstrations at RSA Conference

Price change -5.05% Move in NTSK prior to publication of this article

52-week range $13.92–$27.99 NTSK trading <b>-49.62%</b> vs 52-week high and near its low

Market cap $5,839,894,086 Equity value before impact of this news

Market Reality Check

Price: $13.18 Vol: Volume 1,565,345 vs 20-da...

low vol

$13.18 Last Close

Volume Volume 1,565,345 vs 20-day average 2,598,486 (relative volume 0.6x). low

Technical Price $14.10 is trading below the 200-day MA ($20.03) and near the 52-week low ($13.92).

Peers on Argus

No peers from the Services-prepackaged Software group appeared in the momentum s...

No peers from the Services-prepackaged Software group appeared in the momentum scanner, suggesting today’s -5.05% move in NTSK was stock-specific rather than sector-driven.

Previous AI Reports

4 past events · Latest: Jan 20 (Positive)

Same Type Pattern 4 events

Date	Event	Sentiment	Move	Catalyst
Jan 20	AI research insight	Positive	+1.6%	Research on AI-driven infrastructure demands and gaps in legacy IT resilience.
Dec 01	AI security features	Positive	-3.4%	New MCP security capabilities to protect AI agent communications and data.
Oct 13	AI strategy research	Positive	+7.8%	Global research on CEO‑CIO alignment as a driver of AI adoption strategy.
Oct 07	AI access enhancements	Positive	-0.5%	Enhancements to Universal ZTNA and AI Copilot for secure, AI-powered access.

Pattern Detected

AI-tagged news has produced mixed reactions, with two aligned positive moves and two negative divergences.

Recent Company History

Over recent months, Netskope has repeatedly highlighted AI-related capabilities and research. Prior AI-tagged releases on Oct 7, 2025 and Oct 13, 2025 showcased AI-powered secure access and CEO‑CIO alignment research, while later updates on Dec 1, 2025 and Jan 20, 2026 focused on MCP security and AI infrastructure demands. Today’s AI-ready data lineage launch continues this theme of expanding the Netskope One platform for governed AI adoption.

Historical Comparison

AI

+3.3 %

Average Historical Move

Historical Analysis

Past AI-tagged news for NTSK saw an average move of 3.3% with both rallies and pullbacks, while today’s AI-ready data lineage launch came alongside a -5.05% move.

Typical Pattern

AI-tagged history shows Netskope progressing from AI strategy research and secure access (Oct 2025) to MCP security (Dec 2025) and AI infrastructure insights (Jan 2026), now adding data lineage for governed AI data use.

Market Pulse Summary

This announcement introduces Netskope One Data Lineage, adding visibility into data provenance and m...

Analysis

This announcement introduces Netskope One Data Lineage, adding visibility into data provenance and movement to support governed AI adoption. It builds on prior AI security work such as MCP protections and AI-powered access. Investors may watch how quickly Preview users convert to broader adoption, how general availability in H1 2026 progresses, and how these capabilities interact with evolving compliance demands and insider risk management.

Key Terms

data lineage, data loss prevention (DLP), insider threat, audit trail, +1 more

5 terms

data lineage technical

"today announced Netskope One Data Lineage, providing visibility and analytics"

Data lineage is a map that shows where a piece of data came from, how it moved and changed, and where it is used — like a package tracking history for information. For investors, clear lineage helps verify that financial metrics, risk models, or product analytics are built on reliable inputs, supports regulatory audits, and reduces the chance that decisions are based on corrupted or misunderstood data.

data loss prevention (DLP) technical

"legacy tools, particularly legacy DLP, struggle to correlate data activity"

Data loss prevention (DLP) is software and processes designed to stop sensitive information from leaving an organization accidentally or on purpose, like a security guard that checks files and communications to prevent leaks. Investors care because data breaches or leaks can cause legal fines, customer loss and damaged reputation, which can lower revenue and share value; DLP helps reduce that financial and operational risk.

insider threat technical

"Insider threat protection: Tracking inappropriate data movements and data usage"

An insider threat is when someone inside an organization—an employee, contractor, or executive—misuses their access to data, systems, or operations, either intentionally or by mistake, in ways that can harm the company. It matters to investors because such incidents can lead to financial loss, legal penalties, reputational damage, or business disruption; think of a trusted key-holder who accidentally loses the keys or deliberately lets others in, exposing value to risk.

audit trail technical

"assurance of a verifiable audit trail for compliance records, event investigations"

A chronological record that shows who performed each action, when it happened, and what was changed across financial systems and documents; it logs transactions, edits, approvals, and access so every step can be traced. For investors, an audit trail matters because it boosts trust and accountability—helping detect errors or fraud, supporting audits and regulatory checks, and making financial reporting and due diligence clearer, like a transaction-level receipt for a company’s records.

AI agents technical

"especially important with the widespread adoption of AI agents and other AI tools"

AI agents are computer programs designed to perform tasks or make decisions automatically, often by learning from data and adapting to new information. They act like virtual assistants or robots that can handle complex activities without human intervention, which can help businesses and individuals save time and improve efficiency. For investors, AI agents matter because they can enhance decision-making and automate processes that influence markets and financial outcomes.

AI-generated analysis. Not financial advice.

Part of the Netskope One Platform, the new capabilities enable organizations to track provenance and lifecycle of data at rest, in motion, and in use, for compliance, investigation and policy implementation purposes

SANTA CLARA, Calif., Feb. 03, 2026 (GLOBE NEWSWIRE) -- Netskope (NASDAQ: NTSK), a leader in modern security and networking for the cloud and AI era, today announced Netskope One Data Lineage, providing visibility and analytics to help organizations track and assess the provenance of data everywhere it rests, moves, and is used. As part of the ongoing expansion of the Netskope One platform, organizations can use Netskope One Data Lineage to confidently advance their AI innovation roadmaps, with the assurance of a verifiable audit trail for compliance records, event investigations, as well as data policy implementation.

AI adoption requires the safe governance of an organization’s data and a verifiable audit trail, no matter where it originates, how it moves or how it is used. The scale of this challenge is significant, but legacy tools, particularly legacy DLP, struggle to correlate data activity across sources, users, and interactions—challenging teams to get the visibility they need to properly protect that data.

Netskope One Data Lineage builds upon Netskope’s superior data security controls by enabling teams to track and visualize the movement of sensitive data across their entire organization, through various levels of origin, movement, usage, and access— including visibility into when that data propagates or evolves. It enables policy controls that remain with data as it is extracted and reformatted across different document files and formats. As a result, organizations gain:

• Unprecedented visibility and control: Full context of data provenance from source to destination across multiple users and systems, enabling detailed retrospective investigation after data exfiltration or inappropriate internal access, as well as proactive safeguarding and the application of appropriate compliance measures for sensitive data.
• Insider threat protection: Tracking inappropriate data movements and data usage behaviors on an individual user in order to establish intention and quickly identify emerging insider risks, investigate potential data loss incidents, and troubleshoot unauthorized data movement.
• Optimal policy and security posture: Obtaining an extensive historical timeline associated with document and file origination, enabling IT and security teams to adjust and enforce data access policies to improve security posture.
  

“Organizations need the full context of how data is moving across the digital environment, along with the ability to prevent unauthorized access and use of it, and to prove compliance with increasingly rigorous data protection regulations. This is especially important with the widespread adoption of AI agents and other AI tools,” said Krishna Narayanaswamy, Co-founder and CTO, Netskope. “As part of our industry-leading platform, Netskope One Data Lineage ensures that unified data security supports, rather than hinders, an organization’s ability to grow and innovate.”

“Successfully implementing AI requires trust in the data that fuels it. The volume of sensitive and confidential data increases daily as new information is created, copied, shared, used, and moved,” said Jennifer Glenn, Research Director for IDC Security and Trust Group. “Strict governance of the organization’s data, along with verifiable audit trails of where data lives and how it is used, can offer assurance that only the right people and devices have access to the appropriate information. This offers organizations with a trusted foundation of information that is ready for AI use.”

Data Lineage is now in Preview to Netskope customers, with general availability anticipated in the first half of 2026.

Read more about Data Lineage on the Netskope blog.

Netskope will be demonstrating the full Netskope One platform, including new Data Lineage and recently announced MCP security and other AI-ready capabilities, at RSA Conference in San Francisco, March 23-26, 2026. Engage with Netskope at RSA Conference by visiting booth #1127, Moscone South, scheduling a session with Netskope experts, and joining Netskope speaking sessions and social events.

About Netskope
Netskope (NASDAQ: NTSK), a leader in modern security and networking for the cloud and AI era, addresses the needs of both security and networking teams by providing optimized access and real-time, context-based security for people, devices, and data anywhere they go. Thousands of customers, including more than 30% of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and its powerful NewEdge network to reduce risk and gain full visibility and control over cloud, AI, SaaS, web, and private applications—providing security and accelerating performance without trade-offs.

Learn more at netskope.com, on LinkedIn, and Instagram.

Media Contact:
press@netskope.com

Investor Relations Contact:
ir@netskope.com

FAQ

What is Netskope One Data Lineage and how does it help NTSK customers?

Netskope One Data Lineage provides end-to-end visibility of data provenance and lifecycle across environments. According to Netskope, it helps customers investigate incidents, enforce persistent policies as data changes formats, and support compliance with verifiable audit trails for data at rest, in motion, and in use.

When will Netskope One Data Lineage be generally available for NTSK customers?

Data Lineage is in Preview now and expected to reach general availability in the first half of 2026. According to Netskope, customers can preview the capability today and anticipate GA during H1 2026 to deploy more broadly for compliance and investigations.

How does Data Lineage improve insider-threat detection for Netskope (NTSK)?

Data Lineage tracks inappropriate data movements and user behaviors to surface insider risk quickly. According to Netskope, it provides user-level timelines of data origin, propagation, and access to help security teams determine intent and investigate potential data loss incidents.

Will Netskope demonstrate Data Lineage at RSA Conference 2026 and where can attendees find it?

Yes, Netskope will demonstrate Data Lineage and other AI-ready capabilities at RSA Conference in San Francisco, March 23–26, 2026. According to Netskope, attendees can visit booth #1127 in Moscone South and join sessions and demos with Netskope experts.